sports: rank data : sports

In Rankcluster: Model-Based Clustering for Multivariate Partial Ranking Data

Description

This data set is due to Louis Roussos who asked 130 students at the University of Illinois to rank seven sports according to their preference in participating: A = Baseball, B = Football, C = Basketball, D = Tennis, E = Cycling, F = Swimming, G = Jogging.

Format

A list containing :

data

a matrix containing 130 ranks of size 7 in ranking representation.

The ranking representation r=(r_1,...,r_m) contains the ranks assigned to the objects, and means that the ith object is in r_ith position.

For example, if the ranking representation of a rank is (4,3,1,2,5), it means that judge ranks the first object in 4th position, second object in 3rd position, ...

frequency

a matrix with 123 differents ranks of size 7. In each row the first 7 columns correspond to one observed ranking and the last column contains the observation frequency.

m

the size of the rankings (m=7).

Source

J.I. Marden. "Analyzing and modeling rank data, volume 64 of Monographs on Statistics and Applied Probability". Chapman & Hall, London, 1995.

Examples

 data(sports)
 

Example output

WARNING : Since Rancluster 0.92, the ranks have to be given to the package in the ranking notation (see convertRank function), with the following convention :
- missing positions are replaced by 0
- tied are replaced by the lowest position they share

Rankcluster documentation built on Aug. 26, 2019, 3 p.m.